Title
A comprehensive and scalable middleware for Ambient Assisted Living based on cloud computing and Internet of Things
Date Issued
10 June 2017
Access level
metadata only access
Resource Type
journal article
Author(s)
Gomes B.d.T.P.
Muniz L.C.M.
da Silva e Silva F.J.
Endler M.
Pontifícia Universidade Católica do Rio de Janeiro
Publisher(s)
John Wiley and Sons Ltd.
Abstract
Ambient Assisted Living (AAL) main goal is the development of health monitoring systems for patients with chronic diseases and elderly people through the use of body, home, and environmental sensors that increase their degree of independence and mobility. A comprehensive software infrastructure for AAL systems should be able to cover scenarios involving several patient mobility levels, locations, and physical and cognitive abilities. Cloud computing can provide to AAL systems the ability to extend the limited processing power of mobile devices, but its main role is to integrate all stakeholders through the storage and processing of health data and the orchestration of healthcare business logic. On the other hand, the Internet of Things (IoT) provides the ability to connect sensors and actuators, integrating and making them available through the Internet. This paper presents the Mobile-Hub/Scalable Data Distribution Layer, a middleware for AAL based on cloud computing and IoT. We discuss how this middleware can handle the requirements of the main health monitoring scenarios and present results that demonstrate the ability to opportunistically discover and connect with sensors in a timely manner and the scalability necessary for handling the connection and data processing of many connected patients.
Volume
29
Issue
11
Language
English
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones
Scopus EID
2-s2.0-85006489850
Source
Concurrency and Computation: Practice and Experience
ISSN of the container
15320626
Sponsor(s)
The authors would like to thank FAPEMA (State of Maranhão Research Funding Agency), CAPES (Brazilian Federal Agency for the Support and Evaluation of Graduate Education) and CNPq (National Council for Scientific and Technological Development) for the research scholarships and partial financial support of this work. The Mobile Hub project is supported by the PUC-Rio Microsoft Open Source Alliance. Other thanks is dedicated to Mrs. Ruth Maria Moraes Oliveira Prado (IFMA - Brazil) for her assistance in reviewing this paper.
Sources of information: Directorio de Producción Científica Scopus